{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "needed-updating",
   "metadata": {},
   "outputs": [],
   "source": [
    "import paddle\n",
    "from paddle import nn\n",
    "from paddle.vision.models import resnet152\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "proud-breach",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
      "  and should_run_async(code)\n"
     ]
    }
   ],
   "source": [
    "from EncoderCNN import EncoderCNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "european-anniversary",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-04-03 11:40:28,121 - INFO - unique_endpoints {''}\n",
      "2021-04-03 11:40:28,125 - INFO - File /home/dandelight/.cache/paddle/hapi/weights/resnet152.pdparams md5 checking...\n",
      "2021-04-03 11:40:29,112 - INFO - Found /home/dandelight/.cache/paddle/hapi/weights/resnet152.pdparams\n"
     ]
    }
   ],
   "source": [
    "encoder = EncoderCNN()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
